I am Doniel Tripura, a Computer Science and Engineering student at KUET with a CGPA of 3.70/4.00. I specialize in Machine Learning, AI, and Data Science. I am passionate about using these technologies to solve real-world problems, especially in the healthcare domain.
As a competitive programmer, I have ranked in several national programming contests. I am also a Teaching Assistant at Ostad, helping students prepare for coding interviews.
In my academic and personal projects, I’ve used various technologies like Python, TensorFlow, Swift, Java, PHP, MySQL, and more.
Session: 2019-2020
Received the prestigious Dean's Award for academic excellence and outstanding performance in Computer Science and Engineering.
Intra KUET Programming Contests
May 2025
Live | Code | View ResultBy BAS-FSIBL
Digital Udbhaboni Mela
Math Olympiad 2012
Time Period: March 2024 - Present
Technologies Used: Python, TensorFlow, XGBoost, ResNet50, Random Forest, KNN
This research aims to enhance the accuracy of diabetes prediction by integrating deep learning models (ResNet50, ResNet15) and machine learning algorithms (XGBoost, Random Forest, KNN). The models are trained with real-time data collected from Khulna Medical College (KMC), aiming to improve predictive healthcare analytics.
Key Focus: Real-time data processing, ensemble learning, and predictive analytics for healthcare improvement.
GitHub Repository: View Repository
Time Period: January 2024 - May 2025
Technologies Used: Python, Pandas, Matplotlib, MySQL
This project involves building a real-time analytics platform for healthcare data. The platform processes large volumes of healthcare data to provide insights into disease trends, patient demographics, and healthcare resource allocation.
GitHub Repository: View Repository
Type: Web Platform
Time Period: March 2024 – May 2025
Technologies Used: Next.js, Laravel, MySQL, Docker, Tailwind CSS
A Bangladesh-focused freelancing platform with features like real-time chat, escrow payment system, smart talent matching, and an admin dashboard. Integrated with SSLCommerz and Stripe for secure payments.
Type: iOS App
Time Period: September 2023 - January 2024
Technologies Used: Swift, SwiftUI, Firebase
A dual iOS app focused on managing restaurant orders and user experience. The app supports real-time updates and user-friendly interfaces for efficient restaurant management.
Type: Android App
Time Period: September 2022 - February 2024
Technologies Used: Android Studio, Java, Firebase
A bank management system that features secure logins, real-time transactions, loan management, and customer account tracking for a better banking experience.
Type: Game
Time Period: July 2022 - September 2022
Technologies Used: Python, Tkinter, MinMax Algorithm
An interactive AI-based game using MinMax and Alpha-Beta Pruning for decision-making and gameplay enhancement.
Type: Web Platform
Time Period: February 2023 - February 2024
Technologies Used: Laravel, PHP, MySQL, Bootstrap
Web-based bank management system with modules for customer accounts, loans, and real-time transactions.
Type: Android App
Time Period: September 2021 - December 2021
Technologies Used: Android Studio, Firebase
Patient data management app with real-time heart rate data sync and interfaces for doctors and patients.
Type: Arduino-based System
Time Period: March 2022 - May 2022
Technologies Used: Arduino Uno, PIR Sensor, LDR, Bluetooth
Automatic night light system using motion and ambient light sensors for home security.
Type: Image Processing
Time Period: March 2023 - October 2023
Technologies Used: OpenCV, Python
An Image processing system to detect and recognize English alphabets using image processing and computer vision techniques.
Type: Desktop App
Time Period: September 2022 - December 2023
Technologies Used: Java, MySQL
Automates teacher payment calculations based on departmental work and generates detailed reports.
Type: Python Script
Time Period: January 2023 - February 2023
Technologies Used: Python, SMTP
Automatically sends birthday wishes via email or messaging, scheduled using cron jobs.
Type: Web Platform
Time Period: February 2023 - September 2023
Technologies Used: Laravel, PHP, MySQL
Web app with modules for patient records, appointments, and billing to improve hospital workflow.
Type: Compiler Design
Time Period: September 2021 - December 2021
Technologies Used: C, Lexical Analysis, Syntax Parsing
Compiler for Tripura(Kokborok) language incorporating lexical, syntax, and semantic analysis as part of course project.
Time Period: January 2025 - Present
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Time Period: 2022 - Present
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Time Period: 2022 - Present
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Time Period: 2022 - Present
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Time Period: 2025
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